Modeling of solar energy systems using artificial neural network: A comprehensive review

AH Elsheikh, SW Sharshir, M Abd Elaziz, AE Kabeel… - Solar Energy, 2019‏ - Elsevier
The development of different solar energy (SE) systems becomes one of the most important
solutions to the problem of the rapid increase in energy demand. This may be achieved by …

Application of ANN technique to predict the performance of solar collector systems-A review

HK Ghritlahre, RK Prasad - Renewable and Sustainable Energy Reviews, 2018‏ - Elsevier
The solar collector is the heart of any solar energy collection system designed for operation
in the low to medium temperature ranges. So, an efficient design of solar collector system …

Performance simulation and analysis of a multi-energy complementary energy supply system for a novel BIPVT nearly zero energy building

H Ren, Z Quan, Z Wang, L Wang, H **g… - Energy Conversion and …, 2023‏ - Elsevier
Building integrated photovoltaic–thermal (BIPVT) technology is an efficient form of solar
energy utilization, which realizes self-energy supply and holds good development …

Machine learning for harnessing thermal energy: From materials discovery to system optimization

M Li, L Dai, Y Hu - ACS energy letters, 2022‏ - ACS Publications
Recent advances in machine learning (ML) have impacted research communities based on
statistical perspectives and uncovered invisibles from conventional standpoints. Though the …

Design of high-performance water-in-glass evacuated tube solar water heaters by a high-throughput screening based on machine learning: A combined modeling and …

Z Liu, H Li, K Liu, H Yu, K Cheng - Solar Energy, 2017‏ - Elsevier
How to design water-in-glass evacuated tube solar water heater (WGET-SWH) with high
heat collection rates has long been a question. Here, we propose a high-throughput …

CFD and experimental investigation of flat plate solar water heating system under steady state condition

DG Gunjo, P Mahanta, PS Robi - Renewable energy, 2017‏ - Elsevier
The absorber plate and outlet water temperature of a solar flat plate collector with straight
riser and header arrangement is investigated. The effect of different operating parameters …

Dynamic thermal models and CFD analysis for flat-plate thermal solar collectors–A review

LA Tagliafico, F Scarpa, M De Rosa - Renewable and Sustainable Energy …, 2014‏ - Elsevier
The detailed analysis of a solar collector is a complex task, due to the high number of
parameters affecting its performance. In the last 40 years, several dynamic procedures have …

Performance prediction of a solar thermal energy system using artificial neural networks

W Yaïci, E Entchev - Applied thermal engineering, 2014‏ - Elsevier
This paper describes in details an application of artificial neural networks (ANNs) to predict
the performance of a solar thermal energy system (STES) used for domestic hot water and …

Predictive model for assessing and optimizing solar still performance using artificial neural network under hyper arid environment

AF Mashaly, AA Alazba, AM Al-Awaadh, MA Mattar - Solar Energy, 2015‏ - Elsevier
A mathematical model to forecast the solar still performance under hyper arid conditions was
developed using artificial neural network technique. The developed model expressed by …

MLP and MLR models for instantaneous thermal efficiency prediction of solar still under hyper-arid environment

AF Mashaly, AA Alazba - Computers and Electronics in Agriculture, 2016‏ - Elsevier
The purpose of this study was to determine the viability of modeling the instantaneous
thermal efficiency (η ith) of a solar still, using weather and operational data with Multi-Layer …